Analysis setup
Load your extraction sheet, choose an effect size, and run the conversion.
01 Dataset
02 Error screening NEW ?
Every row is checked for likely data-extraction errors. Findings open in the metaDETECT tab after the run.
03 Effect size measure ?
04 Presentation format
05 Hierarchy in computations

Input data placed at the top of this table will be prioritized when estimating effect sizes (only needed when some studies have overlapping input data)

ANOVA statistics, Student's t-test, or point-bis correlation
ANCOVA statistics, adjusted Cohen's d/eta-squared
Contingency (2x2) table or proportions
From plot: means and dispersion (crude)
From plot: adjusted means and dispersion (adjusted)
ES: Hedges' g or Cohen's d (crude)
ES: Odds Ratio (and dispersion)
ES: Pearson's r or Fisher's z
ES: Risk Ratio and dispersion
Mean difference and dispersion (crude)
Mean difference and dispersion (adjusted)
Means and dispersion (crude)
Means and dispersion (adjusted)
Median, range and/or interquartile range
Number of cases and time of observation
Paired: pre-post means or mean change, and dispersion
Paired: Paired F- or t-test
Phi or chi-square
(Un-)Standardized regression coefficient
User's input (crude)
User's input (adjusted)

  • Select some parameters


Load a dataset first 

                    

                  

                

                

                  

                    
For reference

                    
What metaConvert expects, and what a run produces. Nothing to fill in here.

                  

                  

                    

                      Your data
                      

                        

                          

                            

                              
                              
                              
                            

                          

                        

                      

                    

                    

                      

                      

                        
                      

                    

                  

                  

                    

                      What happens when you run
                    

                    
  • Each row is computed by every formula its columns support - means and SDs, a t-test, a 2x2 table, a reported effect size.
  • The estimates are ranked by the hierarchy you set in step 05.
  • One effect size per row is kept, and every discarded route stays visible so you can compare them.
Results open as a table, a metaDETECT screening report, and three plots.

                  

                

                

                  
                  

                    
                    

                      

                        

                          

                          
Results of the calculations

                          
                          
                          
                        

                      

                      

                        
                        

                          

                          

                          

                          

                          

                        

                      

                      

                        

                          

                          
Forest plot

                          

                          

                        

                      

                      

                        

                          

                          
Box plot

                          

                        

                      

                      

                        

                          

                          
Lolipop plot

                          

                          

                          

                        

                      

                    

                  

                

              

            

            

              
              

                

                  

                    01
                    About this section
                  

                  
This Tab 2. aggregates dependent effect size of a dataset using the procedure described by Borenstein et al. (2009). If the dependent effect sizes are generated by the same participants, select the option 'Borenstein - outcomes'.
                   If the dependent effect sizes are generated by different participants, select the option 'Borenstein - subgroups'.

                  

                    02
                    Dataset
                  

                  

                    

                      
                      

                        
                        
                      

                    

                  

                  

                    

                      

                        
                        

                          
                          
                        

                        

                          

                        

                      

                    

                    

                      

                        

                          
                          

                            
                            
                          

                        

                      

                    

                  

                  

                    

                      

                        
                        
                        
                      

                    

                    

                      
                    

                  

                

                

                  

                    03
                    Aggregating procedure
                  

                  

                    
                    

                      
                      
                    

                  

                

                

                  

                    04
                    Columns of your dataset
                  

                  

                    

                      

                    

                    

                      

                    

                    

                      

                    

                  

                

                

                  

                    05
                    Summary of the additional columns
                  

                  

                    

                      

                    

                    

                      

                    

                    

                      

                    

                  

                

                

                  

                    

                      
                      
                      
                    

                  

                  

                    

                  

                

                

                  
                  

                    
                    
    
                      
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    Select some parameters
    
                      
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Results of the aggregating procedure

                  
                

              

            

            

              
              

                

                  

                    01
                    About this section
                  

                  
Load the two datasets you want to compare. If your datasets contain many rows and many columns, the ouput may takes a few minutes to appear.
                           If the delay is too long, you can speed up the process by restricting the comparison to some columns.

                  

                    

                      

                        
                        
                        
                      

                    

                  

                  

                    

                      
Dataset 1.

                      

                        
                        

                          

                            
                          

                          

                            
                          

                        

                      

                      

                        

                          

                            
                            

                              
                              
                            

                            

                              

                            

                          

                        

                        

                          

                            

                              
                              

                                
                                
                              

                            

                          

                        

                      

                      

                        

                          
                          
                        

                      

                    

                    

                      
Dataset 2.

                      

                        
                        

                          

                            
                          

                          

                            
                          

                        

                      

                      

                        

                          

                            
                            

                              
                              
                            

                            

                              

                            

                          

                        

                        

                          

                            

                              
                              

                                
                                
                              

                            

                          

                        

                      

                      

                        

                          
                          
                        

                      

                    

                  

                  

                    

                      

                        

                          
                          
                          
                        

                      

                      

                        

                          
                          
                          
                        

                      

                    

                    

                      

                        

                          
Dataset 1.

                          
                        

                      

                    

                    

                      

                        

                          
Dataset 2.

                          
                        

                      

                    

                  

                

                

                

                

                  

                    

                      
                      
                      
                    

                  

                  

                    

                  

                

                

                  
                

              

              

                
                

                  
Results of the comparison.